Hedra

Own end-to-end video production for Hedra's YouTube channel and social cutdowns, producing long-form tutorials, deep-dives, and narratives while managing a freelance bench, optimizing for search and conversion, and shooting/editing most content hands-on. Requires 4+ years video production for tech/SaaS with proven YouTube growth, technical fluency, and strong self-motivation.

Lead marketing at Hedra by owning positioning, messaging, content, launches, and blog for developer, prosumer, and enterprise audiences. Hands-on writing and execution in a startup environment, transitioning to management of content and social functions. Requires 7-10 years product marketing experience, exceptional writing, and technical curiosity in generative AI.

Account Executive responsible for driving the full sales cycle for Hedra's AI API and inference platform. Sell to technical buyers including developers, ML teams, and Fortune 100 enterprises; close complex deals and expand accounts while collaborating with product and engineering teams. Requires 5+ years in technical sales with strong track record closing enterprise deals.

Own post-sales technical relationships with API and inference customers at Hedra. Debug integrations, architect production deployments, translate customer feedback into product improvements, and drive adoption from pilot to scaled usage. Requires 4+ years customer-facing technical experience, hands-on Python/API skills, and curiosity in generative AI.

Design, build, and deploy scalable Python backend services and APIs on AWS to power creative tools, integrating with foundation models, Postgres, Redis, S3, and DynamoDB. Requires 5+ years building backend services with Python, Kubernetes/EKS, and relational databases.

Design and build frontend and backend services for creative tools using React, Next.js, TypeScript, and Python on AWS. Requires 5+ years of experience with modern web frameworks.

Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.

Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.